Releasesby GlyphDataflow is available in the Bangkok ( asia-southeast3 ) region
Dataflow is available in the Bangkok ( asia-southeast3 ) region. Learn more about Google Cloud locations .
Also shipped Jan 20, 2026Google Cloud in January 2026 →
Cloudflare Fundamentals, SDK - Cloudflare Typescript SDK v6.0.0-beta.1 now available
Disclaimer: Please note that v6.0.0-beta.1 is in Beta and we are still testing it for stability. Full Changelog: v5.2.0...v6.0.0-beta.1 ↗ In this release, you'll see a large number of breaking changes.
WAF Release - 2026-01-20
This week's release focuses on improvements to existing detections to enhance coverage. Key Findings Existing rule enhancements have been deployed to improve detection resilience against SQL injection.
AI Search path filtering for website and R2 data sources
AI Search now includes path filtering for both website and R2 data sources. You can now control which content gets indexed by defining include and exclude rules for paths. By controlling what gets indexed, you can improve the relevance and quality of your search results.
AI Search - Create AI Search instances programmatically via REST API
You can now create AI Search instances programmatically using the API . For example, use the API to create instances for each customer in a multi-tenant application or manage AI Search alongside your other infrastructure.
KV - New Workers KV Dashboard UI
Workers KV has an updated dashboard UI with new dashboard styling that makes it easier to navigate and see analytics and settings for a KV namespace. The new dashboard features a streamlined homepage for easy access to your namespaces and key operations, with consistent design with the rest of the dashboard UI updates.
Rules - New functions for array and map operations
New functions for array and map operations Cloudflare Rulesets now include new functions that enable advanced expression logic for evaluating arrays and maps. These functions allow you to build rules that match against lists of values in request or response headers, enabling use cases like country-based blocking using custom headers.
More from DataflowEvery Dataflow release →
Dataflow now serves a notice for when the Dataflow Runner v2 container image of a streaming pipeline will be...
Dataflow now serves a notice for when the Dataflow Runner v2 container image of a streaming pipeline will be upgraded. To use a new image and avoid the scheduled maintenance, launch a replacement job before the upgrade. For more information, see Runner v2 harness update .
Dataflow Managed I/O now supports rolling upgrades for streaming jobs
Dataflow Managed I/O now supports rolling upgrades for streaming jobs. With this feature, Dataflow upgrades your Managed I/O connectors in running pipelines as new connector versions become available. For more information, see Automatic upgrades .
Dataflow support for the C4A machine series of Arm processors is now generally available
Dataflow support for the C4A machine series of Arm processors is now generally available. Arm-based VMs are optimized for power efficiency and can provide improved price-performance for many workloads. For more information, see Use Arm VMs on Dataflow .
Dataflow now supports speculative execution for batch pipelines
Dataflow now supports speculative execution for batch pipelines. This feature mitigates the impact of slow-running tasks ( stragglers ) by launching a redundant execution of these tasks. The first task to finish is used, and the other is canceled, which can improve the overall completion time of your pipeline. This feature is generally available.
When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM...
When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM Selection (Instance Flexibility) is enabled automatically. With Auto VM Selection, workers are provisioned from a curated list of machine types that meet your RAM and CPU requirements.
Dataflow job builder now supports external Iceberg REST Catalogs as a source
Dataflow job builder now supports external Iceberg REST Catalogs as a source. You can now ingest data from external Apache Iceberg REST catalogs (IRC) directly into Lakehouse tables using Dataflow's job builder UI without writing code. For more information, see Import data from external Iceberg catalogs to Lakehouse using Dataflow .
For jobs that use GPUs, Dataflow now supports the flex-start provisioning model
For jobs that use GPUs, Dataflow now supports the flex-start provisioning model. This flex-start provisioning model can improve your ability to get access to constrained GPU resources for short-duration workloads. This feature is available in Preview and is for batch pipelines only. For more information, see Configure a provisioning model .
Dataflow has updated and expanded its pipeline update features for streaming jobs: - Automated...
Dataflow has updated and expanded its pipeline update features for streaming jobs: Automated stop-and-replace updates : You can perform automated, declarative stop-and-replace updates to streaming jobs. Parallel updates with the same job name : When you perform automated parallel updates, you can use the same job name for the new replacement job.